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μSARS2芯片:一种基于肽的微阵列,用于基于免疫指纹评估新冠肺炎预后。

μSARS2 Chip: A Peptide-Based Microarray to Assess COVID-19 Prognosis Based on Immunological Fingerprints.

作者信息

Guercetti Julian, Alorda Marc, Sappia Luciano, Galve Roger, Duran-Corbera Macarena, Pulido Daniel, Berardi Ginevra, Royo Miriam, Lacoma Alicia, Muñoz José, Padilla Eduardo, Castañeda Silvia, Sendra Elena, Horcajada Juan P, Gutierrez-Galvez Agustín, Marco Santiago, Salvador J-Pablo, Marco M-Pilar

机构信息

Nanobiotechnology for Diagnostics Group, Instituto de Química Avanzada de Cataluña, IQAC-CSIC, C/Jordi Girona 18-26, 08034 Barcelona, Spain.

CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Instituto de Salud Carlos III, 28029 Madrid, Spain.

出版信息

ACS Pharmacol Transl Sci. 2025 Feb 21;8(3):871-884. doi: 10.1021/acsptsci.4c00727. eCollection 2025 Mar 14.

DOI:10.1021/acsptsci.4c00727
PMID:40109734
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11915183/
Abstract

A multiplexed microarray chip (-μSARS2) aiming at providing information on the prognosis of the COVID-19 has been developed. The diagnostic technology records information related to the profile of the immunological response of patients infected by the SARS-CoV-2 virus. The diagnostic technology delivers information on the avidity of the sera against 28 different peptide epitopes and 7 proteins printed on a 25 mm area of a glass slide. The peptide epitopes (12-15 mer) derived from structural proteins (Spike and Nucleocapsid) have been rationally designed, synthesized, and used to develop -μSARS2 as a multiplexed and high-throughput fluorescent microarray platform. The analysis of 755 human serum samples (321 from PCR+ patients; 288 from PCR- patients; 115 from prepandemic individuals and classified as hospitalized, admitted to intensive-care unit (ICU), and ) from three independent cohorts has shown that the chips perform with a 98% specificity and 91% sensitivity identifying RT-PCR+ patients. Computational analysis utilized to correlate the immunological signatures of the samples analyzed indicate significant prediction rates against conditions with 82% accuracy, ICU admissions with 80% accuracy, and 73% accuracy over hospitalization requirement compared to asymptomatic patients' fingerprints. The miniaturized microarray chip allows simultaneous determination of 96 samples (24 samples/slide) in 90 min and requires only 10 μL of sera. The diagnostic approach presented for the first time here could have a great value in assisting clinicians in decision-making based on the information provided by the -μSARS2 regarding progression of the disease and could be easily implemented in diagnostics of other infectious diseases.

摘要

一种旨在提供新冠病毒疾病预后信息的多重微阵列芯片(-μSARS2)已被开发出来。该诊断技术记录了感染严重急性呼吸综合征冠状病毒2(SARS-CoV-2)病毒患者的免疫反应特征相关信息。该诊断技术可提供有关血清针对印在25毫米玻片区域上的28种不同肽表位和7种蛋白质的亲和力信息。源自结构蛋白(刺突蛋白和核衣壳蛋白)的肽表位(12 - 15聚体)经过合理设计、合成,并用于开发-μSARS2作为多重高通量荧光微阵列平台。对来自三个独立队列的755份人类血清样本(321份来自PCR检测呈阳性患者;288份来自PCR检测呈阴性患者;115份来自疫情前个体,并分为住院患者、重症监护病房(ICU)收治患者等)的分析表明,这些芯片在识别RT-PCR检测呈阳性患者时,特异性为98%,灵敏度为91%。用于关联所分析样本免疫特征的计算分析表明,针对病情状况的预测准确率为82%,针对ICU收治情况的预测准确率为80%,与无症状患者指纹相比,针对住院需求的预测准确率为73%。这种小型化微阵列芯片能够在90分钟内同时检测96个样本(每张玻片24个样本),且仅需10微升血清。此处首次提出的诊断方法对于协助临床医生根据-μSARS2提供的有关疾病进展信息进行决策可能具有重要价值,并且能够很容易地应用于其他传染病的诊断。

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本文引用的文献

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Epitope mapping of severe acute respiratory syndrome coronavirus 2 neutralizing receptor binding domain-specific monoclonal antibodies.严重急性呼吸综合征冠状病毒2中和性受体结合域特异性单克隆抗体的表位图谱分析
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Neutralising SARS-CoV-2 RBD-specific antibodies persist for at least six months independently of symptoms in adults.
中和新冠病毒受体结合域特异性抗体在成年人中持续至少六个月,与症状无关。
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Peptide microarrays coupled to machine learning reveal individual epitopes from human antibody responses with neutralizing capabilities against SARS-CoV-2.肽微阵列与机器学习相结合,揭示了针对 SARS-CoV-2 具有中和能力的人抗体反应中的个体表位。
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